Cloud Data & MLOps Senior Engineer (m/w/d)

Design robust hybrid data pipelines, develop central AI data architecture, and implement End-to-End MLOps. Work with Terraform, Python, and modern workflows like Git and containerization. Collaborate with data scientists and translate their requirements into performant infrastructure.

Requirements

• Engineering mindset with experience in infrastructure as code (e.g. Terraform), modern workflows like Git and containerization (e.g. Docker)
• Data engineering & scripting expertise in a modern programming language (e.g. Python) and complex data pipelines
• Cloud and hybrid architecture with experience in cloud services for data integration and storage (e.g. Azure Data Factory, Data Lake)
• Good German language skills in word and script
• Basic knowledge of container orchestration (e.g. Kubernetes)

Benefits

• Joint team events
• EGYM Wellpass & Occupational pension
• Free drinks, coffee, tea
• Food delivery with Cateroo
• City car (car sharing)
• Extensive opportunities for further education
• Flexible working hours, remote work & workation possible
• Apple hardware & modern office with high-quality equipment